MANIFEST #1

Introduction

In recent months, the phrase "I also asked ChatGPT, and it can't be done" has become more and more frequent. But what does this mean for us? Europe has finalized the EU AI Act, a law that aims to regulate artificial intelligence. But what are we left with in concrete terms?

The passing of time

Of course, someone might argue that it is not so different from learning to "google" (and becoming addicted to it). Others might argue that it is a question of time, a link with the past and our knowledge. However, after the first implementation of a simple vector database and some similarity indexes, I chose a different path. At the time we called it TextMining. I do not want to get into the merits of AI or criticize its "pure reason". I wonder instead whether we accept a meaning of something provided to us by an "empirical" model, based on the semantic knowledge that we ourselves have chosen to give to things.

Conclusions

In conclusion, if we leave aside syntactic knowledge and give space to only semantic models that in turn ignore other semantic knowledge (often internal), I have the impression that we could enter a loop of "artificial ignorance".

The point of view

The post raises important questions about the use of artificial intelligence and its influence on our knowledge and understanding of the world.

The author expresses concern about the growing dependence on tools such as ChatGPT and the potential loss of critical thinking and analysis skills.

The reference to the EU AI Act underlines the need for regulation of AI to ensure responsible and transparent use.

The author invites us to reflect on the meaning we attribute to the information provided by "empirical" models and on the possibility of falling into a "loop of artificial ignorance" if we rely exclusively on the semantic knowledge provided by such models.

The post ends with a note of skepticism and concern about the future of AI and its ability to influence our knowledge and understanding of the world.